Systems and Methods for Automated Cloud-Based Analytics for Security Surveillance Systems with Mobile Input Capture Devices

ABSTRACT

Systems and methods for cloud-based surveillance for a target surveillance area are disclosed. At least two input capture devices and at least one user device are communicatively connected to a cloud-based analytics platform. At least one input capture device is a mobile device with visual sensors. The cloud-based analytics platform automatically analyzes received 2-Dimensional (2D) video and/or image inputs for generating 3-Dimensional (3D) surveillance data and providing 3D display for a target surveillance area.

CROSS-REFERENCES TO RELATED APPLICATIONS

This application is related to and claims priority from the followingU.S. Patent Applications. This application is a continuation of U.S.patent application Ser. No. 14/845,480 filed Sep. 4, 2015, which is acontinuation-in-part of U.S. patent application Ser. No. 14/249,687filed Apr. 10, 2014, each of which is incorporated herein by referencein its entirety.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates to cloud-based systems and methods forautomated analytics of inputs from remote, distributed devices forsecurity surveillance.

2. Description of the Prior Art

It is known in the prior art to use mobile devices for securitysurveillance, as well as to analyze image and video content forsurveillance purposes. While the prior art discloses individual aspectsas the present invention, very few, if any, teach the ability toauthenticate and analyze captured inputs from un-registereduser-devices. The present invention permits remote servers to acceptcaptured inputs from a variety of mobile devices, authenticate metadatafrom the inputs, and analyze the inputs to provide surveillanceinformation.

The proliferation of wireless, mobile devices having image and videofunctions is widespread and use of these device-functions continues toincrease. Sporting events, social gatherings, dissident events, andemergency situations are typically captured on a multitude of devicesoperated by differing users. Nowhere in the prior art is provided socialsurveillance or security system that allows for uploading of thesecaptured inputs, authentication of such inputs, and cloud-based analysisof the inputs in order to provide real- or near real-time surveillanceof a target environment. Prior art documents teach that camera and videoinput devices may be equipped with a time-stamp function that embeds adate and time into an image or video for later authentication. Also, itis known in the prior art to provide authentication of users and/ordevices through the evaluation of uploaded content, includingstenographic techniques such as digital fingerprinting and watermarking,or user-verification techniques such as login or CAPTCHA technologiesand biometric scanning.

Notably, most of the prior art security surveillance systems disclosethe use of fixed devices, rather than the use of mobile devices. Forexample, content-based analytics is widely used in CCTV settings andwhen verifying that digital content has been unaltered or authenticatinga content's source (e.g., copyrighted music, images and videos).Additionally, similar technology has been deployed in military and lawenforcement units, although these technologies typically requirespecialized pre-registered devices, as opposed to incorporatingdistributed, unknown devices.

It is known in the prior art that a video surveillance system can be setup at a location with a local recorder and server besides cameras. Inrecent years, with development of cloud computing and communicationtechnologies, there is a need for users to have access to theirsurveillance systems anywhere anytime with their smart mobile devices.Meanwhile, users need not only basic recording from their surveillancesystems, but also want to get more advanced preventive and proactiveanalytics from their surveillance systems.

Video surveillance systems typically rely on 2-Dimensional (2D) imagesand/or videos. If high-definition 3D images and/or videos can begenerated for surveillance, the security surveillance system couldharvest much better information. Camera manufactures have developed 3Dcameras in order to produce 3D videos. However, the prices are muchhigher than those of regular 2-Dimensional (2D) cameras. For theexisting surveillance systems with 2D cameras, it is a huge expense toupdate to 3D cameras in order to get 3D surveillance.

Thus there is a need for a cloud-based analytics platform, which notonly provides users access anyway anytime via a network-connecteddevice, but also generating 3D images and/or videos based on regular 2Dinput data from cameras, especially from mobile devices, and providing3D analytics.

By way of example, prior art documents include:

U.S. Pat. No. 7,259,778 for “Method and apparatus for placing sensorsusing 3D models” by inventor Aydin Arpa et al. filed Feb. 13, 2004,describes method and apparatus for dynamically placing sensors in a 3Dmodel is provided. Specifically, in one embodiment, the method selects a3D model and a sensor for placement into the 3D model. The methodrenders the sensor and the 3D model in accordance with sensor parametersassociated with the sensor and parameters desired by a user. Inaddition, the method determines whether an occlusion to the sensor ispresent.

U.S. Pat. No. 7,675,520 for “System, method and computer program forcreating two dimensional (2D) or three dimensional (3D) computeranimation from video” by inventor Will Gee et al. filed Dec. 7, 2006,describes System, method and computer program for creating twodimensional (2D) or three dimensional (3D) computer animation fromvideo. In an exemplary embodiment of the present invention a system,method and computer program product for creating at least a twodimensional or three dimensional (3D) datastream from a video withmoving objects is disclosed. In an exemplary embodiment of the presentinvention, a method of creating animated objects in 2D or 3D from video,may include: receiving video information which may include a pluralityof frames of digital video; receiving and adding metadata to the videoinformation, the metadata relating to at least one object in motion inthe digital video; and interpreting the metadata and the videoinformation and generating a datastream in at least 2D. In an exemplaryembodiment, 2D, 3D or more dimensional data may be used to provide ananimation of the event of which the video was made. In an exemplaryembodiment, a 2D or 3D gametracker, or play reviewer may be providedallowing animation of motion events captured in the video.

U.S. Pat. No. 7,944,454 for “System and method for user monitoringinterface of 3-D video streams from multiple cameras” by inventorHanning Zhou, et al. filed Sep. 7, 2005, describes a user navigationinterface that allows a user to monitor/navigate video streams capturedfrom multiple cameras. It integrates video streams from multiple cameraswith the semantic layout into a 3-D immersive environment and rendersthe video streams in multiple displays on a user navigation interface.It conveys the spatial distribution of the cameras as well as theirfields of view and allows a user to navigate freely or switch amongpreset views. This description is not intended to be a completedescription of, or limit the scope of, the invention. Other features,aspects, and objects of the invention can be obtained from a review ofthe specification, the figures, and the claims.

U.S. Pat. No. 8,284,254 for “Methods and apparatus for a wide areacoordinated surveillance system” by John Frederick Romanowich, et al.filed Aug. 11, 2005, describes a coordinated surveillance system. Thecoordinated surveillance system uses a larger number of fixed lowresolution detection smart camera devices and a smaller number ofpan/tilt/zoom controllable high resolution tracking smart cameradevices. The set of detection cameras provide overall continuouscoverage of the surveillance region, while the tracking cameras providelocalized high resolution on demand. Each monitor camera device performsinitial detection and determines approximate GPS location of a movingtarget in its field of view. A control system coordinates detection andtracking camera operation. A selected tracking camera is controlled tofocus in on, confirm detection, and track a target. Based on a verifieddetection, a guard station is alerted and compressed camera video isforwarded to the guard station from the camera(s). The guard station candirect a patrol guard to the target using GPS coordinates and a sitemap.

U.S. Pat. No. 8,721,197 for “Image device, surveillance camera, and maskmethod of camera screen” by inventor Hiroyuki Miyahara, et al. filedAug. 10, 2012, describes a microcomputer. In a microcomputer included inan image device, a mask 2D 3D converting section expresses coordinatesof a 2-dimensional image plane defined by an imaging element having arectangular contour in a 3-dimensional coordinate system. The imageplane is positioned in the state that a focal length corresponding to azoom position is adopted as a Z coordinate value of the image plane inthe 3-dimensional coordinate system. A mask display position calculatingsection 165 calculates a 2-dimensional position of a mask on a camerascreen by utilizing a similarity of the size of the image plane and thesize of the camera screen when a position of a mask on the image planein the 3-dimensional coordinate system after PAN, TILT rotations and azooming is converted into the 2-dimensional position of the mask on thecamera screen.

U.S. Publication 2013/0141543 for “Intelligent image surveillance systemusing network camera and method therefor” by inventor Sung Hoon Choi, etal. filed May 23, 2012, describes an intelligent control system. Theintelligent control system according to an exemplary embodiment of thepresent disclosure includes a plurality of network cameras to photographa surveillance area; an image gate unit to perform image processing ofimage data, which is input from the plurality of network cameras,according to a specification that is requested by a user; a smart imageproviding unit to convert a plurality of image streams, which are imageprocessed by the image gate unit, to a single image stream; and an imagedisplay unit to generate a three-dimensional (3D) image by segmenting,into a plurality of images, the single image stream that is input fromthe smart image providing unit and by disposing the segmented images oncorresponding positions on a 3D modeling.

U.S. Publication 2014/0192159 for “Camera registration and videointegration in 3d geometry model” by inventor Henry Chen, et al. filedJun. 14, 2011, describes apparatus, systems, and methods to receive areal image or real images of a coverage area of a surveillance camera.Building Information Model (BIM) data associated with the coverage areamay be received. A virtual image may be generated using the BIM data.The virtual image may include at least one three-dimensional (3-D)graphics that substantially corresponds to the real image. The virtualimage may be mapped with the real image. Then, the surveillance cameramay be registered in a BIM coordination system using an outcome of themapping.

U.S. Publication 2014/0333615 for “Method For Reconstructing 3D ScenesFrom 2D Images” by inventor Srikumar Ramalingam, et al. filed May 11,2013, describes a method reconstructing at three-dimensional (3D)real-world scene from a single two-dimensional (2D) image by identifyingjunctions satisfying geometric constraint of the scene based onintersecting lines, vanishing points, and vanishing lines that areorthogonal to each other. Possible layouts of the scene are generated bysampling the 2D image according to the junctions. Then, an energyfunction is maximized to select an optimal layout from the possiblelayouts. The energy function use's a conditional random field (CRF)model to evaluate the possible layouts.

U.S. Pat. No. 8,559,914 for “Interactive personal surveillance andsecurity (IPSS) system” by inventor Jones filed Jan. 16, 2009, describesan interactive personal surveillance and security (IPSS) system forusers carrying wireless communication devices. The system allows userscarrying these devices to automatically capture surveillanceinformation, have the information sent to one or more automated andremotely located surveillance (RLS) systems, and establish interactivityfor the verification of determining secure or dangerous environments,encounters, logging events, or other encounters or observations. ThisIPSS is describes to enhance security and surveillance by determining auser's activities, including (a.) the user travel method (car, bus,motorcycle, bike, snow skiing, skate boarding, etc.); (b.) the usermotion (walking, running, climbing, falling, standing, lying down,etc.); and (c.) the user location and the time of day or time allowanceof an activity. When user submits uploaded (or directly sent)surveillance information to the public server, the surveillance videos,images and/or audio includes at least one or more of these searchableareas, location, address, date and time, event name or category, and/orname describing video.

U.S. Pat. No. 8,311,983 for “Correlated media for distributed sources”by inventor Guzik filed Dec. 14, 2009 (related to U.S. Publications2010/0274816, 2011/0018998, 2013/0027552 and 2013/0039542) disclosesmethod embodiments associating an identifier along with correlatingmetadata such as date/timestamp and location. The identifier may then beused to associate data assets that are related to a particular incident.The identifier may be used as a group identifier on a web service orequivalent to promote sharing of related data assets. Additionalmetadata may be provided along with commentary and annotations. The dataassets may be further edited and post processed. Correlation can bebased on multiple metadata values. For example, multiple still photosmight be stored not only with date/time stamp metadata, but also withlocation metadata, possibly from a global positioning satellite (GPS)stamp. A software tool that collects all stored still photos takenwithin a window of time, for example during a security or policeresponse to a crime incident, and close to the scene of a crime, maycombine the photos of the incident into a sequence of pictures withwhich for investigation purposes. Here the correlation is both by timeand location, and the presentation is a non-composite simultaneousdisplay of different data assets. Correlating metadata can be based on aset of custom fields. For example, a set of video clips may be taggedwith an incident name. Consider three field police officers each in adifferent city and in a different time zone, recording videos and takingpictures at exactly at midnight on New Year's Day 2013. As a default, agroup may be identified to include all users with data files with thesame Event ID. A group may also be either a predefined or aself-selecting group, for example a set belonging to a security agency,or a set of all police officers belonging to the homicide division, oreven a set of officers seeking to share data regardless of if they arebellowing to an organized or unorganized group.

U.S. Pat. No. 7,379,879 for “Incident reporting system and method” byinventor Sloo filed Feb. 26, 1999, describes a computer-based method ofcollecting and processing incident reports received from witnesses whoobserve incidents such as criminal acts and legal violations. The methodautomates the collection and processing of the incident reports andautomatically sends the incident reports to the appropriate authority sothat the observed incidents can be acted on in an appropriate manner.For example, a witness may be equipped with a video input system such asa personal surveillance camera and a display. When the witnessencounters an incident such as a suspect committing a crime, the videoinput system would automatically recognize the suspect from the videoinput and could then display records for the suspect on the witness'shand held readout without revealing the suspect's identity. The witnesswould not need to know the identity of the suspect to observe theincident relating to the suspect. Such a system may overcome some of theproblems associated with publicly revealing personal data.

U.S. Publication 2009/0087161 for “Synthesizing a presentation of amultimedia event” by inventors Roberts, et al. filed Sep. 26, 2008,discloses a media synchronization system includes a media ingestionmodule to access a plurality of media clips received from a plurality ofclient devices, a media analysis module to determine a temporal relationbetween a first media clip from the plurality of media clips and asecond media clip from the plurality of media clips, and a contentcreation module to align the first media clip and the second media clipbased on the temporal relation, and to combine the first media clip andthe second media clip to generate the presentation. Each user whosubmits content may be assigned an identity (ID). Users may upload theirmovie clips to an ID assignment server, attaching metadata to the clipsas they upload them, or later as desired. This metadata may, forexample, include the following: Event Name, Subject, Location, Date,Timestamp, Camera ID, and Settings. In some example embodiments,additional processing may be applied as well (e.g., by the recognitionserver and/or the content analysis sub-module). Examples of suchadditional processing may include, but are not limited to, thefollowing: Face, instrument, or other image or sound recognition; Imageanalysis for bulk features like brightness, contrast, color histogram,motion level, edge level, sharpness, etc.; Measurement of (and possiblecompensation for) camera motion and shake.

U.S. Publication 2012/0282884 for “System and method for the emergencyvoice and image e-mail transmitter device” by inventor Sun filed May 5,2011, describes a voice and image e-mail transmitter device with anexternal camera attachment that is designed for emergency andsurveillance purposes is disclosed. The device converts voice signalsand photo images into digital format, which are transmitted to thenearest voice-image message receiving station from where the digitalsignal strings are parsed and converted into voice, image, or videomessage files which are attached to an e-mail and delivered to userpre-defined destination e-mail addresses and a 911 rescue team. Thee-mail also includes the caller's voice and personal information, photoimages of a security threat, device serial number, and a GPS locationmap of the caller's location. When the PSU device is initially used, theuser needs to pre-register personal information and whenever a digitalsignal string is transmitted out from the PSU device it will includethese personal information data plus a time code of the message beingsent, the PSU device's unique serial number, and the GPS generatedlocation code, etc. which will all be imbedded in the PSU e-mail.

U.S. Publication 2012/0262576 for “Method and system for a network ofmultiple live video sources” by inventors Sechrist, et al. filed Mar.15, 2012, discloses a system and a method that operate a network ofmultiple live video sources. In one embodiment, the system includes (i)a device server for communicating with one or more of the video sourceseach providing a video stream; (ii) an application server to allowcontrolled access of the network by qualified web clients; and (iii) astreaming server which, under direction of the application server,routes the video streams from the one or more video sources to thequalified web clients.

Geo-location information and contemporaneous timestamps may be embeddedin the video stream together with a signature of the encoder, providinga mechanism for self-authentication of the video stream. A signaturethat is difficult to falsify (e.g., digitally signed using anidentification code embedded in the hardware of the encoder) providesassurance of the trustworthiness of the geo-location information andtimestamps, thereby establishing reliable time and space records for therecorded events. In general, data included in the database may beroughly classified into three categories: (i) automatically collecteddata; (ii) curated data; and (iii) derivative data. Automaticallycollected data includes, for example, such data as reading fromenvironmental sensors and system operating parameters, which arecollected as a matter of course automatically. Curated data are datathat are collected from examination of the automatically collected dataor from other sources and include, for example, content-basedcategorization of the video streams. For example, detection of asignificant amount of motion at speeds typical of automobiles maysuggest that the content is “traffic.” Derivative data includes any dataresulting from analysis of the automatically collected data, the curateddata, or any combination of such data. For example, the database maymaintain a ranking of video source based on viewership or a surge inviewership over recent time period. Derivative data may be generatedautomatically or upon demand.

None of the prior art provides solutions for cloud-based 3D analyticsfor a target surveillance area as provided by the present invention.

SUMMARY OF THE INVENTION

The present invention relates to virtualized computing orcloud-computing network with input capture devices (ICDs) and userdevices and a cloud-based analytics platform for automatically analyzingreceived video, audio and/or image inputs, generating 3-Dimensionalvisual data for providing social security and/or surveillance for asurveillance environment, surveillance event, and/or surveillancetarget.

The present invention is directed to systems and methods for cloud-basedsurveillance for a target surveillance area. The cloud-basedsurveillance system comprises at least two ICDs, one cloud-basedanalytics platform having a processor and a memory, and at least oneuser device having a display with a user interface. The cloud-basedplatform is constructed and configured in network-based communicationwith the at least two ICDs and the at least one user device. Each of theat least two ICDs has at least one visual sensor and is operable tocapture and transmit input data to the cloud-based analytics platform,and at least one of the at least two ICDs is a mobile device with avisual sensor. The cloud-based analytics platform is operable to receiveand authenticate the input data from the at least two ICDs, generate3-Dimensional (3D) visual representation based on input data capturedfrom the at least two ICDs and perform advanced analytics based on theinput data and/or the generated 3D visual representation for the targetsurveillance area. The at least one user device is operable to displaythe 3D visual representation of the target surveillance area via theuser interface of the user device.

These and other aspects of the present invention will become apparent tothose skilled in the art after a reading of the following description ofthe preferred embodiment when considered with the drawings, as theysupport the claimed invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram of an exemplary system consistent with theinvention.

FIG. 2 is a flowchart of a method for providing a cloud-basedsurveillance system of the present invention.

FIG. 3 is a schematic diagram of one embodiment of the invention.

FIG. 4 is a schematic diagram of one embodiment of the invention.

FIG. 5 is a schematic diagram of one embodiment of the invention.

FIG. 6 is a schematic diagram of a cloud-based system of the presentinvention.

FIG. 7 is another schematic diagram of a cloud-based system of thepresent invention.

DETAILED DESCRIPTION

Referring now to the drawings in general, the illustrations are for thepurpose of describing a preferred embodiment of the invention and arenot intended to limit the invention thereto.

The present invention relates to cloud-based surveillance systems andmethods for providing at least one server computer in communication witha network for providing centralized and/or distributed cloud-basedanalytics of inputs captured from remote input capture devices forproviding analyzed inputs that are stored in the cloud-based systemdatabase and accessible remotely and securely for providing security forat least one surveillance environment, surveillance event, and/orsurveillance target. Related secure wired and/or wireless networks andsystems, and methods for using them are disclosed in U.S. Publications2006/0064477 and 2014/0071289, and U.S. Pat. Nos. 7,784,080, 7,719,567,7,954,129, 7,728,871, 7,730,534 and 8,395,664, each of which areincorporated herein by reference in their entirety. The presentinvention also relates to generating 3D surveillance data based on 2Dvisual input for providing more accurate 3D analytics. Related 3Dvisualization systems and methods are disclosed in U.S. Pat. No.8,395,664, which is incorporated herein by reference in its entirety.

In the following description, like reference characters designate likeor corresponding parts throughout the several views. Also in thefollowing description, it is to be understood that such terms as“forward,” “rearward,” “front,” “back,” “right,” “left,” “upwardly,”“downwardly,” and the like are words of convenience and are not to beconstrued as limiting terms. Referring now to the drawings in general,the illustrations are for the purpose of describing a preferredembodiment of the invention and are not intended to limit the inventionthereto.

Although “cloud computing” can generically be applied to any software asa service or to services interfacing through the Internet, in thepresent invention, “cloud-based” computing refers to distributedcomputing among at least one server or more than one server.

The present invention is directed to systems and methods for cloud-basedsurveillance for a target surveillance area. The cloud-basedsurveillance system comprises at least two ICDs, one cloud-basedanalytics platform having a processor and a memory, and at least oneuser device having a display with a user interface. The cloud-basedplatform is constructed and configured in network-based communicationwith the at least two ICDs and the at least one user device. Each of theat least two ICDs has at least one visual sensor and is operable tocapture and transmit input data to the cloud-based analytics platform,and at least one of the at least two ICDs is a mobile device with avisual sensor. The cloud-based analytics platform is operable to receiveand authenticate the input data from the at least two ICDs, generate3-Dimensional (3D) visual representation based on input data capturedfrom the at least two ICDs and perform advanced analytics based on theinput data and/or the generated 3D visual representation for the targetsurveillance area. The at least one user device is operable to displaythe 3D visual representation of the target surveillance area via theuser interface of the user device.

The at least two ICDs may communicate with each other and form a meshnetwork. In one embodiment, ICDs communicate with each other to 1)extend the range of the ICDs, so they transmit data to pass down theline to the receiver, extending the range by the number of cameras and2) cameras communicate with each other based on set rules and decidethemselves when an issue should be made aware of to the cloud-basedanalytics platform. By way of example, one camera can alert anothercamera if it picks up a fast moving person who is running towards thatcamera; if a person should not be at that camera, it can then alert thecloud platform.

Alternatively, ICDs can communicate with each other to exchange datathat each ICD receives and then, based on rules that each camera has,act on that data. By way of example, if an ICD detects a person who hasan RFID tag, the ICD can also detect that person's RFID data and compareit to a database to determine if that person has permission to be at acertain location. Furthermore, the system also can track a person'smovement. If a person appears with the incorrect RFID tag or no RFIDtag, then an alarm can be sent to other ICDs and/or the cloud-basedanalytics platform which can in turn communicate with other ICDs.

Input Capture Device(s) (ICDs)

The ICDs in the present invention include at least one visual sensor, beit a video camera or image camera. By way of example, the ICDs may besecurity cameras, smart phones, tablets, wearable input capture devicesand other devices with visual sensors.

On the front end of the system, each of the at least two ICDs furtherincludes a power source, a power converter; soft power down componentwhich provides for a gentle power down so that ICD settings arepreserved and not lost. Preferably each ICD is wireless. And preferably,while the ICD is wireless, it further includes an optional networkconnection at a back side of the ICD also, so it can be hardwired into anetwork.

The ICDs may also include at least one input component for detecting andrecording inputs, a processor, a memory, a transmitter/receiver, andoptionally, at least indicator light for indicating camera activities,all constructed and configured in electronic connection. By way ofexample and not limitation, the at least one input component may includea microphone, and/or a camera. In one preferred embodiment of thepresent invention, the at least one wireless ICD includes two antennasfor providing a wireless signal for receiving and/or transmitting datawith the cloud-based analytics platform or another ICD(s). The ICDs areoperable for cross-communication with each other, including dataexchange, wherein the data exchange includes information about thesurveillance environment, settings, inputs, and combinations thereof.The at least two ICDs further includes a housing having a removablecasing around the lens to make lens adjustments or settings; ICDadjustments and settings are preferably optional, and are not usuallyrequired in preferred embodiments of the present invention, as thecloud-based analytics platform automatically establishes and controlsthe ICD settings and activities for each of the at least two ICDsassociated with the target surveillance area.

For the preferred embodiments where the ICD includes a digital videocamera (DVC) having a lens and corresponding camera components, thecamera further includes a computer chip providing for capabilities ofperforming video compression within the ICD itself. The ICD as awireless digital video camera is capable of capturing video within itsrange within the surveillance environment and compressing the capturedvideo into a data stream, the capture occurring at predetermined datesand times, during activity detection, and/or on command from thecloud-based analytics platform. In the case of video, the images areadjustable to capture at different sizes, different frame rates, and/orto include the display of the name of the device (determined by the userand/or the system), the date, the time, and combinations thereof. TheICD including a DVC is capable of capturing images that are combinableand/or integratable with the video data stream and/or compressible intoan individual image data stream, all at predetermined dates and times,when activity such as motion or audio are detected, on command from thewireless DVR, and combinations thereof. As with video capture, imagecapture is adjustable to capture at different sizes, different framerates, and/or to include the display of the name of the device(determined by the user and/or the system), the date, the time, andcombinations thereof. A data stream of images is transmittablewirelessly to the cloud-based analytics platform.

Similarly, where the ICDs have audio capabilities, the captured audio,which is combinable and/or integratable with other inputs captured bythe ICD sensors, is compressible into an individual audio data stream,which is transmittable wirelessly to the cloud-based analytics platform.The activity of audio ICD is activatable at predetermined dates andtimes, during activity detection, and/or on command from the cloud-basedanalytics platform. The audio ICD is further adjustable to capture audioat different or variable rates.

Preferably, since the ICD generates heat during operation, the ICDhousing includes a cooling system having a vent and a low noise coolingfan. Since the video components of ICDs generate heat that must bedissipated for optimal performance of the system, preferred embodimentsof the present invention include housing units with components thatoperate at lower temperatures, i.e., which generate less heat duringoperation, and include housing units formed of materials that dissipateheat well, and may include a combination of materials, such as metalsand synthetic plastics or composites. While ICDs are preferably used forindoor applications, waterproofing and weather proofing housing unitsand other components for sealing the housing against water and weatherare used for outdoor applications of the present invention. By way ofexample, sealed or gasketed casing, weatherproof venting and fancomponents to prevent water blowing into or being sucked into the case,are used for outdoor ICD units.

Other components optional to the housing unit but preferred for ease ofuse of the system include a removable filter collar on a front end ofthe camera lens, which facilitates user access for changing the filterand/or to provide a different filter, such as a polarization filter or aspecialty filter, for example, to reduce light input or camera aperture.

The ICDs of the present invention are capable of detecting motion,capturing video, detecting and/or capturing audio, providing at leastone data stream capability, including video, compressed video, audio,and combinations thereof. The at least two ICDs are capable of capturingvideo, which is compressible into a data stream, and transmittablewirelessly to the cloud-based analytics platform, with the ICD audiodata or other input data, such as temperature, humidity, chemicalpresence, radiation, and other input data, depending upon the sensorsand intake means of each ICD, being combinable and/or integratable withthe video data stream. Thus, while the ICDs each include at least onesensor for detection and at least one capture input means, preferablyeach of the ICDs include at least two sensors and input means for imageand/or video, and audio capture. In a preferred embodiment, at least twosensor types are used, audio and image or video sensors. The at leastone indicator is included with the ICD to indicate that the power is“on”, and to indicate that motion and/or audio being detected. Theindicator is activatable when motion and/or audio is detected in apredetermined area and/or in a predetermined amount within theenvironment.

In one embodiment, the at least two ICDs are capable of capturing andtransmitting 3-Dimensional (3D) visual data to the cloud-based analyticsplatform for 3D surveillance analytics. In another embodiment, the atleast two ICDs are just capable of capturing and transmitting regular2-Dimensional (2D) visual data. In such situation, the at least two ICDsare positioned to capture visual data for one location from differentangles. Then, the cloud-based analytics platform is operable to generate3D data for analytics based on the captured 2D visual data from the atleast two ICDs.

Each of the at least two ICDs is constructed for configuration that iscapable of wireless communication (2-way) with the cloud-based analyticsplatform and/or any other ICD(s), which when configured provide asurveillance system for a target surveillance area. In a preferredembodiment of the present invention, the ICDs are provided with multipleinput multiple output (MIMO) wireless capability. Other wirelesscommunication may be provided instead of MIMO.

Night vision for ICD video input capture may be provided using aninfrared (IR) light source, so that the video recorded may be effectivein low- to no-light conditions. Image or video input capture may beprovided in a range of resolution, in black/white, in color, and sizedbased upon inputs from a controller/server computer by an authorizeduser of the system, and are modifiable after setup of the system bymodifying controls remotely, and/or by modifying hardware.

The ICD further includes at least one chip that makes the device anintelligent appliance, permitting functions to be performed by the ICDitself, including but not limited to sensor and input controls, such ascamera digital zoom, pan left and right, tilt up and down; image orvideo brightness, contrast, saturation, resolution, size, motion andaudio detection settings, recording settings, communication with otherICDs; and single chip video compression (single DSP). The ICD alsoincludes a sensor with ability for high dynamic range for inputs.

The ICD further includes a stand to support the device; the stand may beincluded with, integral with, or attached to the housing. The stand isconstructed and configured to be mountable to a wall, suspend fromceiling, and provide a variety of stable positions for the ICD tocapture as much data from a given environment as appropriate, given thespace, conditions, and input capture type desired. Importantly, thestand serves as a stable base to tilt the ICD for camera direction upand down, and/or side to side. The stand is movable between positionsbut retains a fixed position by a predetermined friction to ensure sothat the ICD stays in place wherever the positioning was last stopped.The base and stand of the ICD is constructed such that it does notrequire mounting to a surface to provide stability. The adjustabilityand mobility of the device are significant features of the presentinvention to ensure optimal surveillance and easy setup.

Furthermore, the stand is weight balanced for good center of gravity tosupport the adjustment on the stand for stability on the entire range ofmotion for the ICD on its stand; since motion of the ICD is adjustableand provides for dynamic range of motion when the ICD is in use, thestand construction enables remote modification of settings withoutrequiring the user of the system to readjust or optimize the ICDpositioning in person.

The ICD preferably is constructed and configured for a range ofcoverage, which can vary depending upon the conditions and limitationsof a particular target environment. In a preferred embodiment of thesystem, the ICD has a range of coverage with a target range of at leastup to 250 ft. The ICDs are capable of having a range of up to 300meters, with an active wireless range from 1-1000 ft linear feetindoors, and preferably greater. Advantageously, the ICD can beconfigured and activated quickly for quick start up of a surveillancesystem in the target environment. Additionally, the ICDs have theability to communicate with one another to act as a data repeater andextend the usable wireless range to 3,000 meters and more.

Significantly, no adjustments to camera settings, such as focus andfocal length, are required after camera installation; ICD settings arepreadjusted and further controllable remotely by the cloud-basedanalytics platform and/or other ICD(s). Preprogrammed settings may beprovided, with automatic and remote adjustment capabilities. Where theICD is a video camera, the settings may include focus, resolution, etc.

Each of the at least one ICD is constructed to optimally reduce heatfrom particular heat-generating components. In a preferred embodiment ofthe present invention, the ICD includes a plastic case with metal sidesto reduce heat while the system is running. Also, a back plate of theICD or camera is all metal to increase heat dissipation, and to optimizeweight and heat management, which important where there is a lot ofpower involved, as with wireless video input devices. Also,significantly, the ICDs are constructed with a separate chamber forimaging components to reduce heat. It is known that heat is not good forimaging sensors or equipment; however, cooling fans can generate noise,which is preferably minimized with security systems and componentstherein. The camera is configured to communicate with an imaging boardwith a flexible electronics communication cable, which permits thecamera to have a separate chamber for optimized heat reduction. This isa problem specific to wireless cameras that has not been successfullyaddressed in the prior art.

The ICD also includes at least one and preferably two antenna that areremovable, including standard antennae, which may be substituted for apatch antenna and/or a long range antenna.

Additionally, the ICDs have inputs, such as video and microphone, and atleast one indicator light. In the case of a wireless video camera, thehousing includes an easily removable casing around the lens to make lensadjustments or settings, which optional, and not usually required.

Additionally, the ICDs have video analytics display to show ICD statuson a front side of the ICD itself, on a small screen. Informationorientation is preferably adjustable or automatically adaptable, basedupon device orientation, so that a user can easily review theinformation or text in a proper orientation (i.e., vertically). In analternate embodiment, this camera status and information may be viewableon a remote screen that is in wireless communication with the device(s),for example on a handheld electronic device such as a mobile phone orPDA.

Additionally, the ICDs have the ability to communicate with one anotherto exchange data about the environment and all control settings andother settings of any other ICDs.

ICDs may be removed from operation and/or operational communication orinteraction with the system. To remove an ICD from the surveillancesystem, a user click-selects via a user interface on an image and/orname that represents the capture device they want removed and thenclick-selects a single removal button. The cloud-based analyticsplatform then removes that ICD from the surveillance system.

ICDs may have local storage and analytic functions. ICDs and/or cameraswhich have the ability to capture video and audio and/or 3D data aboutan area of interest and/or data from sensors then analyze the videoand/or the 3D data and/or the sensor data to determine among otherthings how many people are in an area of interest, how much time theyspent in an area, what direction they traveled, how tall they are,exactly where they are in a 3 dimensional space, their gestures andphysical behavior (to determine and predict human behavior andintentions), RFID data, bar code data, and any other sensor data such astemperature and humidity data as well as analyze the video and/or the 3Ddata and/or the sensor data to determine if there are objects in thearea which are new or are different (were removed from the area or movedinto the area) such as boxes, cars, equipment, and object RFID or otherdata such as Bar Code data. Then upon analyzing that data, the cameracan optionally make decisions on that data based on rules that arestored in a database in the camera.

These rules in the ICD(s) or smart camera(s) are provided from thecloud-based analytics platform and/or another smart camera and areoperable to be changed automatically at any time or upon demand by anauthorized user of the system.

Smart Mesh Camera Networking with Video Content Management

In one embodiment of the present invention, the system includes a smartmesh ICD networking with a video content management. The smart mesh ICDnetwork of the system is operable to provide ICDs to communicate withthe cloud-based analytics platform and/or other ICDs to act asrepeaters, i.e., an extension or repeat functional component, to extendthe usable range of the system beyond the range of any individual ICD.

In another embodiment of the present invention, in particular whereinthe system has video capabilities, the system includes ICDs that areoperable to communicate with each other and/or the cloud-based analyticsplatform to exchange data and/or control each other to ensure thatimportant data from ICD inputs is transmitted to cloud-based analyticsplatform properly. By way of example, a first ICD senses the motion of aperson moving towards a second ICD and communicates instruction ordirective to the second ICD to be aware of the motion sensed by thefirst ICD and to take appropriate action as programmed or set-up forthat ICD, such as to record the sensed motion. The appropriate actionmay further include capturing and/or recording the inputs at anincreased frame rate, an increased resolution, and/or other action toensure that the important data, in this case motion, is captured orrecorded by the second ICD.

In another embodiment of the present invention, in particular whereinthe system has video capabilities, the system includes ICDs that areoperable to communicate directly with each other and/or the cloud-basedanalytics platform to exchange data and/or control each other based on aset of rules created by the user. By way of example, a first ICD detectsa first motion of a first object that is moving towards a second ICD;wherein the first ICD has been programmed and/or set-up with a ruleindicating that if motion moves from the first ICD to a second ICD, thenan alarm must be made. The first or second camera can send the alarm tothe cloud-based analytics platform as the ICDs can share rules with eachother.

In another embodiment of the present invention, in particular whereinthe system has video capabilities, the system includes ICDs that areoperable to directly cross-communicate with each other and/or thecloud-based analytics platform to exchange data and/or control eachother to ensure maximum throughput at the appropriate ICDs. By way ofexample, a first ICD detects a first motion of a first object that ismoving towards a second ICD; wherein the first ICD has been programmedand/or set-up to send a status signal to the second ICD to ensure thatthe second ICD has the throughput it requires to monitor the pendingaction.

In another embodiment of the present invention, in particular whereinthe system has video capabilities, the system includes ICDs that areoperable to communicate with each other and/or the cloud-based analyticsplatform to exchange data. Such data includes “content data” that is aseparate stream of data from the video data. The ICDs work together tobecome a content management network whereby the content data is managed.By way of example, in a room monitored by an ICD, a person wearing a redsweater places a box on the floor, opens a door, and leaves. The ICDcould detect the following: (1) a moving mass that is the color red, theperson's sweater; (2) a movement in an otherwise steady mass, the door;and (3) a new mass now in the image, the box. In addition to the videoof the event, the ICD could store the content data of “a person wearingred left a box in the room and walked out the door.” This content datacan be shared with the cloud-based analytics platform and/or other ICDs.

In another embodiment of the present invention, in particular whereinthe system has video capabilities, the system includes ICDs that areoperable to communicate with each other and/or the cloud-based analyticsplatform to exchange data and/or control each other based on a set ofrules created by the user. Such data includes “content data” that is aseparate stream of data from the video data. The ICDs work together tobecome a content management network whereby the content data is managed.By way of example, in a room monitored by an ICD, a person wearing a redsweater places a box on the floor, opens a door, and leaves. The ICDcould detect the following: (1) a moving mass that is the color red, theperson's sweater; (2) a movement in an otherwise steady mass, the door;and (3) a new mass now in the image, the box. In addition to the videoof the event, the ICD could store the content data of “a person wearingred left a box in the room and walked out the door.” This content datacan be shared with the cloud-based analytics platform and/or other ICDs.The content data may trigger a rule, which could be set to issue analarm if a mass is left in the room, such as the box in the currentexample. The rule could further include capturing and/or recording theICD's inputs at an increased frame rate, an increased resolution, and/orother action to ensure that the important data, in this case the videoof the new box, is captured or recorded by the ICD.

In another embodiment of the present invention, the at least one ICDincludes at least one video capture device or the ICD(s) have digitalvideo input capture capability and components functional for providingthe same; and digital video recording (DVR) capabilities and componentsfunctional for providing the same. Furthermore, the ICD(s) may be videocamera(s) or provide such function similar to video camera(s).

Additionally, microchip(s) within the ICD(s) provide intelligent inputcapture and learned pattern analysis, such as an ICD with videocapability identifying or sensing a mass of an object within itssurveillance range, comparing the input characteristics with referencedand/or learned information, labeling the sensed object based on a likelymatch in the referenced and/or learned information, communicating and/orreferencing programmed data to determine if other action is required,and performing the required action, as appropriate. By way of example, awireless digital camera senses a moving object within its targetsurveillance area, compares the size and shape of the object withreference information to determine that the moving object is likely aperson, checks rules or settings to determine whether sensing thepresence of a person is a trigger event for indicating an alarm, andcommunicating the alarm and/or recording and transmitting the imagesassociated with the moving object (person) to other ICD(s) and/or thecloud-based analytics platform. In another example, additional inputssuch as RFID inputs from tagged objects, identification badges, and thelike, may be inputted to the ICD(s) and compared with referenceinformation or settings to activate (or not) a trigger event.Alternatively, the absence of an RFID transmitter on a moving object(person) or stationary object (unauthorized package or object) in asecure area including the target surveillance environment may also beoperable to activate a trigger event or alarm, and/or activate othersensors, such as radiation, sound, chemical detection, and the like, andcombinations thereof. By way of more detailed example, in the case ofvideo surveillance, where a person enters the target environment undersurveillance by the ICDs, and where the person has an employee badgewith an RFID or other transmitting capability, either active or passive,embedded or incorporated therein/on, the ICDs video capture identifiesthe RFID tag data and compares it with existing data or settings storedwithin the ICD(s). If the RFID tag data does not comport withpermissions available for and associated with that ID tag, then theICD(s) activates a trigger event, such as recording inputs includingvideo, audio, and other data associated with the person detected by theICD, such as, by way of example and not limitation, clothing color,direction of travel, mass, height, speed, whether the person is carryinganything, movement particulars like jerkiness or injury, and the like.The ICD(s) then cross-communicate to ensure that other ICDs are aware ofthe non-compliant detection by the first ICD so that they respondaccordingly. If the trigger event is an alarm event, then the ICDs areoperable to send notification directly to the cloud-based analyticsplatform or through other ICDs to the cloud-based analytics platform,such that corresponding alarm event actions occur, such as further thirdparty notification and inputs recording as required or determined bysettings or programming within the system. In preferred embodiments theICDs are digital video cameras operable to communicate wirelessly witheach other and the cloud-based analytics platform.

In another embodiment according to the present invention, the ICDswithin the mesh network are further equipped with wireless communicationtransmitters, such as cellular phone transmitters or wide band cellularcards for providing cellular transmission/reception by each ICD, toprovide each ICD/camera with standalone capability to cross-communicatewith each other to extend the effective surveillance area and/or tocommunicate with each other to transmit and receive information that isfurther transmitted via the Internet to the cloud-based analyticsplatform. Furthermore, business models using such systems and componentswith this type of method of operation permit users to access the systemand its inputs for monitoring after payment of a monthly service fee. Ifan authorized user has paid the monthly subscription charge or servicefee, then the user may remotely access ICD inputs, including storeddata, and can download the stored or recorded input data through thecloud-based analytics platform and/or a device in electroniccommunication with the cloud-based analytics platform.

Cloud-Based Analytics Platform

The present invention provides a cloud-computing surveillance systemincluding: at least one server computer having a processor and a memory,constructed and configured in network-based communication with amultiplicity of remote input devices having input capture mechanisms;inputs captured by the remote input devices transmitted within a securemessaging communicated over the network; wherein the inputs arereceived, authenticated, and indexed by the at least one server computerand stored in a corresponding database; wherein the inputs are processedand analyzed based upon at least one profile for a surveillanceenvironment, a surveillance event, and/or a surveillance target, forproviding a near-real-time analysis of the inputs to determine a statusof security. The at least one profile associated with the surveillanceenvironment, surveillance event, and/or surveillance target may includesecurity level (low, medium, high), alert level, time interval forreview for change, authorized remote input device and/or userinformation, and combinations thereof. The status may be selected from:normal, questionable, alert, urgent, disaster, injury, and anydescriptor or indicator of the level and condition of the environment,event, and/or target compared with predetermined conditions.

The system may further include a priority and a profile associated withthe inputs for automatically associating the inputs with thecorresponding surveillance environment, surveillance event, and/orsurveillance target. The profile associated with the inputs may includeuser and/or owner identifier, equipment identifier, communicationsecurity level, and combinations thereof. In one embodiment, the securemessaging includes internet protocol (IP) messaging of data packet(s)including the inputs, and may further include encryption, digitalfingerprinting, watermarking, media hashes, and combinations thereof. Asdescribed in the following detailed description of the invention, theinputs are selected from images, audio, and/or video; more particularly,the input is selected from live streaming video, real-time images and/oraudio, previously recorded video, previously captured images and/oraudio, and combinations thereof. The remote input devices include mobilephones, smart phones, tablet computers, portable computers, mobilecommunication devices, wearable input capture devices, and/or securitycameras. By way of example and not limitation, a wearable input capturedevice may be removable, portable devices such as eyewear (like GoogleGlass), headwear, wristwear, etc.

The analysis is performed by a virtualized or cloud-based computingsystem and provides for remote access of analyzed inputs, and involvesat least one rules engine for transforming individual inputs intoanalyzed content. The analyzed content may include inputs from more thanone remote input device. Additionally, the analyzed content may begenerated by transforming the original inputs by the at least one servercomputer automatically assembling input fragments into an integratedcontent file, and wherein the original input is stored and associatedwith the integrated content file.

In one embodiment of the present invention, the authentication includesconfirmation of global positioning system (GPS) location of each of theremote input devices providing inputs and matching the GPS location withcorresponding at least one predetermined surveillance environment,surveillance event, and/or surveillance target. Preferably, the analysisincludes authentication of the input device with a deviceidentification, a user identification, a geographic location, and a timeassociated with the input and the predetermined surveillanceenvironment, surveillance event, and/or surveillance target.

At the at least one server computer, the authenticated inputs areautomatically tagged, combined, grouped, edited, and analyzed by thecloud-based system according to the predetermined surveillanceenvironment, surveillance event, and/or surveillance target. Also, theinput is verified by authenticating the at least one input device and/orits corresponding user and the input is analyzed to confirm that therehas been no alteration, editing, and/or modification to the input priorto its receipt by the at least one server computer.

The present invention also provides methods for the system described inthe foregoing, including the steps of: providing a cloud-based orvirtualized computing system having at least one server computer with aprocessor and a memory, constructed and configured in network-basedcommunication with a multiplicity of remote input devices having inputcapture mechanisms; receiving by the at least one server computer inputsfrom the remote input devices transmitted within a secure messagingcommunicated over the network; authenticating the inputs; indexing theinputs by the at least one server computer; and storing the inputs in acorresponding database; processing and analyzing the inputs by the atleast one server computer using at least one profile for a surveillanceenvironment, a surveillance event, and/or a surveillance target, forproviding a near-real-time analysis of the inputs to determine a statusof security. Additional steps may include: providing a priority for thesecure messaging; analyzing inputs from more than one remote inputdevice in near real time to provide social security surveillance of thesurveillance environment, surveillance event, and/or surveillancetarget; and/or automatically assembling input fragments into anintegrated content file, and wherein the original input is stored andassociated with the integrated content file. Also, preferably, theauthenticating step includes automatic authentication of the inputdevice and/or its user based upon the combination of a deviceidentification, a user identification, a geographic location, and a timeassociated with the input and the predetermined surveillanceenvironment, surveillance event, and/or surveillance target.

The present invention systems and methods include a social surveillancesystem for providing automated cloud-based analytics that allows foruploading of captured inputs, authentication of the inputs, and analysisof the inputs to provide real-time or near real-time surveillance of asurveillance environment, surveillance event, and/or surveillancetarget. The social surveillance invention includes a combination ofseveral key features including input authentication, time, and automatedcloud-based analytics relating to the inputs and the surveillanceenvironment, surveillance event, and/or surveillance target.

The authentication is provided with device and/or user with locationwherein the input devices provide information including geographiclocation information and/or global positioning system (GPS) informationto be embedded within images and videos and/or included in the messagingfrom the input devices over the network to the at least one servercomputer. Additionally, overlay and other techniques may also be usedduring upload of content, such as, by way of example and not limitation,TDOA, AIA, and RF fingerprinting technologies.

Preferably, the input devices are equipped with a time-stamp functionthat embeds a date and time into an image or video for laterauthentication, or their messaging provides a date and time associatedwith the inputs, including images, and/or video.

Additionally, the authentication of users and/or devices through theevaluation of uploaded content, including stenographic techniques suchas digital fingerprinting and watermarking, or user-verificationtechniques such as login or CAPTCHA technologies and biometric scanning.

While some content is considered verified by authenticating a user ordevice, additional analytics may be performed by the cloud-based systemto establish that content has not been modified from its originalsources, such as through the use of media hashes. Additionally, afterreceiving and authenticating multiple sources of information, analyticsmay allow for the inputs to be aggregated, tagged, combined, edited,and/or grouped. Although in the prior art, content-based analytics isused in CCTV settings and when verifying that digital content has beenunaltered or authenticating a content's source (e.g., copyrighted music,images and videos), it has not been used for distributed, cloud-basedsocial surveillance allowing for a multiplicity of inputs from remoteinput devices to at least one server computer for analysis of the inputsbased upon a predetermined surveillance environment, surveillance event,and/or surveillance target, and more particularly for securitysurveillance.

Notably, the present invention does not require specializedpre-registered devices, but instead incorporates distributed, andpotentially unknown devices, so long as the user, time and locationcorrespond to the predetermined surveillance environment, surveillanceevent, and/or surveillance target.

Systems and methods of the present invention provide for a multiplicityof remote input devices, by way of example and not limitation, includingcommercially available devices such as Google glass or glasses orheadwear having input capture mechanisms and mobile communicationcapability, mobile smart phones, cellular phones, tablet computers,gaming devices such as an Xbox Kinect controller, so long as the inputdevice is constructed and configured to capture and share or transmitvideo and/or images associated with location data, direction, etc. andowners/users with the cloud-based surveillance system. The inputinformation is stored on at least one server computer, in a centralizedand/or virtualized central manner, and the input information is indexed,organized, stored, and available for access by authorized users via thenetwork through a website or portal or API. The input device ispreferably registered with the system through an app or softwareapplication associated with the remote or distributed input devices.While preregistration is not required for the inputs to be associatedwith at least one surveillance environment, surveillance event, and/orsurveillance target, all inputs are required to be authenticated by thesystem based upon the input device, the input device user, and/orcorresponding identification and/or association with the surveillanceenvironment, surveillance event, and/or surveillance target. By way ofexample and not limitation, a video input is transmitted by a remoteinput device with an email including the video input as a mediaattachment within the message; the cloud-based system and its at leastone server computer receives the email message, authenticates the emailaddress associated with the device and/or user, and accepts the video.Also the same is provided with MMS or text messaging with video and/oraudio and/or image.

In one embodiment of the present invention, method steps include:providing the system as described hereinabove; providing a softwareapplication operating on a remote input device for capturing at leastone input including an image, a video, and/or an audio input; activatingthe software application; capturing the at least one input including animage, a video, and/or an audio input; automatically and/or manuallyincluding structural and/or descriptive metadata, including but notlimited to unique identifying indicia associated with the input, time,location or geographic information, text and/or audio notationassociated with the input, priority flag or indicator, and combinationsthereof.

Optionally, the software application and/or the remote input deviceautomatically verifies and authenticates the user of the remote inputdevice, for example using biometric authentication such as facialrecognition, fingerprint, etc., and/or using a user identification andpasscode or personal identification number, or other authenticationmechanisms. Preferably, the authentication information is included withthe metadata corresponding to the input(s) and associated therewith as acomposite input, and the software application and/or the remote inputdevice automatically transmits the composite input over the network tothe cloud-based system and the at least one server computer thereon andis saved in at least one database. In preferred embodiments of thepresent invention, a user interface is provided on the remote inputdevice(s) or distributed computer device(s) and their correspondingdisplays to provide secure, authorized access to the composite inputand/or to all inputs associated with predetermined surveillanceenvironment, surveillance event, and/or surveillance target stored inthe cloud database.

Also, preferably, the software application on the remote input deviceprovides an automated sharing feature that provides for single clickselect and activation of media sharing of the selected inputs captured.In one embodiment, the single click select and activation of mediasharing of the selected inputs captured on that remote input deviceprovides for automatic association of the shared media with at least oneemail address corresponding to the user and the remote input device.

3D Analytics

The cloud-based analytics platform for a surveillance system may providestorage for input data from various ICDs and perform surveillanceanalytics based on the input data.

The present invention provides advanced image processing and 3D visualdata generation. The cloud-based analytics platform calibrates at leasttwo conventional 2D cameras so as to determine depth information. The atleast two calibrated cameras take two 2D images for one location fromdifferent angles, advanced image processing on the cloud-based analyticsplatform finds matches between these two images, and the position ofmatched elements are triangulated to obtain missing depth informationfrom these two 2D images. A 3D image for that one location can beconstructed with the depth information. Similarly, a 3D video can beconstructed based on 2D input data for streaming and analytics.Generated 3D images and videos can be rotated to review from differentangles.

Thus, the present invention provides robust, real-time or near-real-timeand easy-to-use surveillance analytics. Compared to 2D analytics, 3Danalytics can reduce false alarms, improve the immersive effect for aphysical security presence, and provide more accurate advanced analyticsfunctions, such as facial recognition, object tracking, people counting,market analysis, etc.

The present 3D analytics provides cross-video surveillance and multipletarget tracking. Each movement trajectory of a tracking target may behighlighted differently. An alert may be generated when a target staysin a zone beyond a preset period of time, when a target passes apredefined line, or when a target satisfies any other preset rule fortriggering an alert. The present 3D cloud-based analytics transformspassive analytics to reactive and preventive.

Visual Representation and Display

A surveillance system for wireless communication between componentsincluding: a base system including at least two wireless input capturedevices (ICDs) and a cloud-based analytics platform and a user devicehaving a display with a user interface, the cloud-based analyticsplatform being operable to transmit and receive information with theICDs, the ICDs having at least one visual sensor and at least one inputcomponent for detecting and recording inputs, a microprocessor, amemory, a transmitter/receiver, all ICD components being constructed andconfigured in electronic connection; wherein the ICDs are operable forwireless cross-communication with each other independent of thecloud-based analytics platform for forming a mesh network of ICDsoperable to provide secure surveillance of a target environment.

In one embodiment, the user interface provides a visual representationof captured data in an image format and a contextualized image formatcomprising the visual representation of captured data and coordinatedspatial representation of the image format.

Preferably, the coordinated spatial representation of the image formatincludes a coordinate system to provide a spatial context for thecaptured data, which includes narrow-scope context that is relatedspatially to the immediate surroundings, and/or a geospatial context forthe captured data, including more global or broad scope context that isrelated by GPS or other geographic-based coordinate systems. Thus, thepresent invention provides a 3-dimensional (3-D) geospatial view of thecaptured data.

In one embodiment, the coordinate system is an overlay for the visualrepresentation of the captured data. In this case, the coordinate systemprovides context without visually depleting or diminishing theinformation provided by the two-dimensional or image-based captured dataand its representation on the user interface.

In another embodiment, the coordinate system creates a 3-dimensionalview of the 2-dimensional (2-D) image by providing relational spatialimaging of the surrounding environment or context of the image.Preferably, the 2-D image is visually represented as more linearly thanthe image itself, with the target or key aspects of the captured dataand/or image being substantially represented in the same manner as inthe 2-D image view. The target captured data may be the sensed image orobject by the ICD(s), depending upon the sensors and relatedfunctionality. By way of example, the target image may be a person whosepresence is detected by motion sensors on the ICD. In any case, the 2-Dimage may be an image itself, such as a digital photographic image, astill frame of a video image, a rendering of the actual image and/ordata captured by the ICD(s), and combinations thereof.

In a preferred embodiment, the system is operable to provide comparable2-D and 3-D images as set forth in the foregoing.

The present invention provides for systems and methods having a 3D modelof a space provides a 3D context for the inputs from the ICDs; inputsfrom the ICDs, including direct cross-communication information,location, settings, environment conditions, and inputs (video, audio,temperature, other sensors, object patterns, movement of a multiplicityof objects and/or people, and analytics related to the objects and/orhuman patterns, including visual patterns, predetermined movements orgestures, facial recognition, and combinations thereof), being visuallyrepresented on a GUI independently and in the 3D context forsimultaneous display of all the info, and analytics based on the info,including activity density within the 3D context based on the inputs,for surveillance and analysis of target environment(s).

The present invention provides for custom analytics that are relevant tothe environment as in the present invention. By way of example, in aretail application, it's not about just tracking an individual who mightbe shoplifting or tampering with goods but the relevance is based onpredetermined events or situations, like build-up of customers atspecific 3D locations (like lines at check-out, lines at customerservice, the deli counter, special advertisement or presentation ofarticles in different location to judge traffic/marketing/presentation,the emergency exit, etc.) wherein specific indications (analytics) wouldresult (indication of need to open another register, notify additionalcustomer service reps., more deli people, success of a promotionalevent/packaging change, etc.). This is an “activity density” or “contentdensity” feature and functionality unique to the present invention.Furthermore, other behavior of humans, including but not limited togestures, actions, changes in actions, patterns of behavior, facialrecognition, age, sex, physical characteristics, and combinationsthereof, are preferably included with the 3-D visual representation ofthe inputs and the analysis relating thereto. More preferably, theanalysis and indication of predetermined patterns, activities,movements, speed, etc. are included simultaneously with the video inputsand their 3-D contextualization to provide for situational awareness andanalysis automatically based upon the inputs and context thereof.

One aspect of the present invention is to provide systems and methodsfor analytics displays and management for information generated fromvideo surveillance systems, including contextualization and remotereview.

Another aspect of the present invention is to provide systems andmethods for analytics displays and management for information generatedfrom direct cross-communication from independent input capture devices(ICDs), wherein the information includes contextualization and remotereview of inputs from the ICDs, the inputs being directly associatedwith the ICD(s) that originated them, and settings associated with eachof the ICDs and information associated with the ICD settings (date,time, environment conditions, etc.) and the inputs (direct correlation).

Another aspect includes the addition of interactive 3D visualizationremotely through a network on a remote computer having a display and agraphic user interface (GUI) viewable by a remote user. Preferably thisremote user GUI provides a true 3D interface for simultaneouslypresenting input information and additional ICD-based information(including but not limited to ICD identification, position, settings,environment conditions, etc.) and an interactive 3D perspective of theICD and its 3D physical context, thereby providing at least three levelsof analytics and visual input information for multi-level processing ofthe surveillance environment.

A smart mesh network surveillance system and method for providingcommunication between a base system having at least one wireless inputcapture device ICD(s) and other ICD(s), wherein the ICD(s) are capableof smart cross-communication with each other and remote access to theirinputs via a server computer, including the steps of providing this basesystem; at least one user accessing the ICDs and inputs remotely via auser interface through a remote server computer and/or electronic devicecommunicating with it, wherein the captured data is represented visuallyon a user interface or screen views for the user, the screen viewsshowing 2-dimensional data and corresponding 3-dimensional data of thesame input capture with coordinate overlay to provide a geographiccontext for the captured data. The present invention uses theaforementioned systems and methods for providing a 3D model of a spaceprovides a 3D context for the inputs from the ICDs; inputs from theICDs, including direct cross-communication information, location,settings, environment conditions, and inputs and analysis thereof, beingvisually represented on a GUI independently and in the 3D context forsimultaneous display of all the info, and analytics based on the info,including activity density within the 3D context based on the inputs,for surveillance and analysis of target environment(s).

Advantageously, this provides for action or response based on the 3Dcontextualized inputs and the various views, including but not limitedto 3D geospatial overlay and interactivity to shift perspective withinthat 3D context.

Video contextualization is selective adopted by the user, preferablythrough a remote, network-based access. That visualization is functionaland operable to be manipulated by a user to provide a visual perspectivethat optimizes data and information review, without eliminating datacontent provided by the input from the digital video surveillancesystem. By way of example and not limitation, the interactive GUIincludes analytics about the target environment, based upon visualpatterns. In one demonstrative case, this may include visual patternsthat are automatically detected in a predetermined environment, such asa retail space. In this setting, automatic notification of a pattern,such as a grouping of a multiplicity of moving objects, like peoplequeuing at a check-out counter, triggers automatic notification that acorresponding action should be taken, such as opening another check-outline to eliminate the queue quickly. In another example, marketinganalytics may be obtained by visual patterns in a 3-D environment, suchas traffic around a display in a retail setting; changing displayconfiguration and positioning and the corresponding change in visualpattern detectable automatically in that environment can be comparedusing the systems and methods of the present invention.

3D Display

A user can access to the cloud-based analytics platform via a userinterface via a user device with a display. The cloud-based analyticsplatform has a cloud account associated with a specific surveillancesystem. The user may receive alerts and/or messages via an authorizeduser device, such as smart phones, tablets, personal computers, laptops,head-mounted displays (HMD), and other display devices.

The cloud-based analytics platform provides 2D and/or 3D video streamingand storage for the surveillance system. A 3D video for a surveillancetarget area, either generated from 2D visual input data or received from3D cameras, can be viewed via the user interface on a user device with adisplay. The 3D video is streaming in real time or near real time. Inone embodiment, there is one video for each of the multiple surveillancelocations in a surveillance target area, and one overall video for thewhole surveillance target area.

Highlighted trajectory and contextualized features may be displayed withthe 3D video. In one embodiment, the 3D video may be interactive. Forexample, one target object may be viewed from different angles byrotating the 3D surveillance video with a touch screen or a display withcontrol buttons. A user may zoom in the 3D video for closer look, orzoom out the 3D video for a bigger picture.

In one embodiment, the display on a user's device may be conventional 2Ddisplay, then a user may need to wear 3D glasses for 3D view. In anotherembodiment, the display on a user's device may be operable to haveglasses-free 3D display. In another embodiment, the user device is ahead-mounted display, for example Oculus Rift, for virtual realitydisplay.

3D Playback

The cloud-based analytics platform also provides 3D playback for asurveillance target area. 3D playback provides for users to see whathappened in a certain period of time in the past. A certain period ofvideo may be saved automatically on the platform, for examplesurveillance videos for the past 7 days. To obtain video storage andplayback for more than a certain period of time, a user may set thesettings on the platform and a certain fee may be charged.

3D playback provides another chance to identify any other suspiciousobjects and/or phenomena the users may have omitted, or find usefulinformation between targeted objects, or any other information for anauthorized user may be interested in later.

Communications

The ICDs transmits video and/or audio and other input data andoptionally the decisions with input data wirelessly (using networkprotocols such as 802.11, cell phone protocols such as CDMA or GSM, orany other wireless protocol such as Zigbee, Bluetooth, or internetprotocol, or other) to a local network device (e.g., a cell tower or arouter) and then to the cloud-based analytics platform via internet.

The camera can optionally transmit the data and the decisions and/or thevideo and audio associated with that data wirelessly using networkprotocols such as 802.11, cell phone protocols such as CDMA or GSM, orany other wireless protocol such as Zigbee, Bluetooth, or other) toanother camera which can take that data and combine it with its own datato make unique decisions based on the combination of the two data sets.Then the camera can send the combined data sets and optionally thedecisions and/or video associated with that data wirelessly or wired toanother camera to make further unique decisions on combined data.

Mobile ICDs in Cloud-Based Surveillance Systems

When at least one of the ICDs in a cloud-based surveillance system for atarget surveillance area is a mobile ICD, the cloud-based analyticsplatform needs to authenticate input data from the mobile ICDs. By wayof example, mobile ICs are mobile phones, smart phones, tabletcomputers, portable computers, mobile communication devices, wearableinput capture devices, and/or security cameras. By way of example andnot limitation, a wearable input capture device may be removable,portable devices such as eyewear (like Google Glass), headwear,wristwear, etc.

The mobile ICDs may be pre-registered or not registered with thecloud-based analytics platform for the target surveillance area. Eitherway, the mobile ICDs may transmit the input data to the cloud-basedanalytics platform in a secure message, for example, IP message, textmessage, email, etc. The cloud-based analytics platform will confirm thetime as to when the input data is captured by the mobile ICDs. In oneembodiment, the ICDs not matter mobile or not, are equipped with atime-stamp function that embeds a date and time into an image or videofor later authentication, or their messages to the cloud-based analyticsplatform provide a date and time associated with the input data. Thecloud-based analytics platform will also confirm the global positioningsystem (GPS) location of each of the remote input devices providinginputs and match the GPS location with that of the target surveillancearea. In one embodiment, the ICDs, not matter mobile or not, areequipped with a locating function that embed GPS information intoimages/videos for later authentication, or their messages to thecloud-based analytics platform provide location information associatedwith the input data. For example, the text messages or emails provideslocation information with the input data. The cloud-based analyticsplatform will also confirm there has been no alteration, editing, ormodification to the input data prior to its receipt by the cloud-basedanalytics platform.

The cloud-based analytics platform generates the 3D representation basedon the authenticated input data. The input data are grouped according totheir location information and/or time information. In one embodiment,two 2D images for one location from different angles are used togenerate a 3D image. Similarly, a 3D video can be generated. In oneembodiment, the target surveillance are is a stadium, people within thestadium can capture images and/or videos within the stadium with theirmobile devices and transmit to a cloud-based analytics platform. Thecloud-based analytics platform authenticates the images and/or videosfor different spots of the stadium from various mobile devices. A 3Drepresentation is constructed based on the images and/or videos. Thecloud-based analytics platform performs advanced analytics based onauthenticated inputs from various mobile devices and the generated 3Drepresentation, including facial recognition and object detection andetc. The 3D representation can be viewed via a user device, and the 3Drepresentation includes an interactive 3D playback for laterinvestigation or other purposes.

FIG. 1 illustrates a block diagram of an exemplary system 100 consistentwith the invention. As shown in FIG. 1, exemplary system 100 maycomprises two ICDs 101, 102, a cloud-based analytics platform 103 and auser device 104. The cloud-based analytics platform 103 are constructedand configured in network communication with the two ICDs 101, 102 andthe user device 104. The two ICDs each have a visual sensor 105, 106,respectively. The cloud-based analytics platform 103 has a processor 107and a memory 108. The user device has a display with a user interface109.

FIG. 2 is a flowchart 200 illustrating a method for providing acloud-based surveillance system in the present invention. The methodcomprises (201) communicatively connecting at least two ICDs and atleast one user device having a display with a user interface to acloud-based analytics platform. The method further comprises (202) theat least two ICDs capturing and transmitting input data to thecloud-based analytics platform. The method further comprises (203) thecloud-based analytics platform receiving and authenticating the inputdata; (204) generating 3D visual representation based on the input datafrom the at least two ICDs; and (205) the cloud-based analytics platformperforming advanced analytics based on the input data and generated 3Dvisual representation. The method further comprises (206) the at leastone user device displaying the 3D visual representation of the targetarea via a user interface over a display.

FIGS. 3-5 illustrate schematic diagrams of different embodiments of thepresent invention; like reference indicators are used throughout themultiple figures for the same or similar elements, as appropriate. FIG.3 shows one embodiment of a cloud-based video surveillance system 300.The embodiment shows a CPU processor and/or server computer 120 innetwork-based communication with at least one database 130 and at leastone geographically redundant database 140. The server computer 120 isconnected to a network 110, a communications (wired and/or wireless)router 180, communications tower 160, and a user device 150 are alsoconnected to the network 110. A user device 170 is connected to thenetwork 110 via the communication tower 160. A user device 190 and twoICDs 310 and 320 are connected to the router 180 in a local area networkvia Wi-Fi wireless 601, cellular wireless 602, or Bluetooth wireless603. Each of the two ICDs may include image capture 610, video capture620, audio capture 630, text and audio note 640, and/or geo-location 650technologies, each technology capable of collecting data for upload tothe network 110 and storage on the databases 130, 140. As the userdevice 190 may also contain identity technologies 920, such as facial,fingerprint and/or retina recognition, both databases 130, 140 mayinclude identity database for validating fingerprints, facialrecognition, and/or retina recognition. User devices 150 and 170, beingany computer, tablet, smartphone, or similar device, permits user accessto the data, video, image, and audio storage on the cloud.

FIG. 4 illustrates another embodiment 400 of a cloud-based videosurveillance system providing for the components shown. A communicationsrouter 180 is connected with the network via communication tower 160.

FIG. 5 illustrates another cloud-based video surveillance system 500with the components shown, including a software application or app on acomputing device having a graphic user interface (GUI) providing for alive viewing area on the device and function buttons, virtual buttons(i.e., touch-activated, near-touch-activated, etc.) of record, notes,and send, associated with input capture devices 190.

Referring now to FIG. 6, a schematic diagram 600 illustrating avirtualized computing network used in of one embodiment of the inventionfor automated systems and methods is shown. As illustrated, componentsof the systems and methods include the following components andsub-components, all constructed and configured for network-basedcommunication, and further including data processing and storage. Asillustrated in FIG. 6, a basic schematic of some of the key componentsof a financial settlement system according to the present invention areshown. The system 600 comprises a server 210 with a processing unit 211.The server 210 is constructed, configured and coupled to enablecommunication over a network 250. The server provides for userinterconnection with the server over the network using a personalcomputer (PC) 240 positioned remotely from the server, the personalcomputer has instructions 247 stored in memory 246. There are othernecessary components in the PC 240, for example, a CPU 244, BUS 242,Input/Output (“I/O”) port 248, and an Output (“O”) port 249.Furthermore, the system is operable for a multiplicity of remotepersonal computers or terminals 260, 270, having operating systems 269,279. For example, a client/server architecture is shown. Alternatively,a user may interconnect through the network 250 using a user device suchas a personal digital assistant (PDA), mobile communication device, suchas by way of example and not limitation, a mobile phone, a cell phone,smart phone, laptop computer, netbook, a terminal, or any othercomputing device suitable for network connection. Also, alternativearchitectures may be used instead of the client/server architecture. Forexample, a PC network, or other suitable architecture may be used. Thenetwork 250 may be the Internet, an intranet, or any other networksuitable for searching, obtaining, and/or using information and/orcommunications. The system of the present invention further includes anoperating system 212 installed and running on the server 210, enablingserver 210 to communicate through network 250 with the remotedistributed user devices. The operating system may be any operatingsystem known in the art that is suitable for network communication asdescribed herein below. Data storage 220 may house an operating system222, memory 224, and programs 226.

Additionally or alternatively to FIG. 6, FIG. 7 is a schematic diagramof an embodiment of the invention illustrating a computer system,generally described as 700, having a network 810 and a plurality ofcomputing devices 820, 830, 840. In one embodiment of the invention, thecomputer system 800 includes a cloud-based network 810 for distributedcommunication via the network's wireless communication antenna 812 andprocessing by a plurality of mobile communication computing devices 830.In another embodiment of the invention, the computer system 800 is avirtualized computing system capable of executing any or all aspects ofsoftware and/or application components presented herein on the computingdevices 820, 830, 840. In certain aspects, the computer system 700 maybe implemented using hardware or a combination of software and hardware,either in a dedicated computing device, or integrated into anotherentity, or distributed across multiple entities or computing devices.

By way of example, and not limitation, the computing devices 820, 830,840 are intended to represent various forms of digital computers andmobile devices, such as a server, blade server, mainframe, mobile phone,a personal digital assistant (PDA), a smart phone, a desktop computer, anetbook computer, a tablet computer, a workstation, a laptop, and othersimilar computing devices. The components shown here, their connectionsand relationships, and their functions, are meant to be exemplary only,and are not meant to limit implementations of the invention describedand/or claimed in this document.

In one embodiment, the user device 820 includes components such as aprocessor 860, a system memory 862 having a random access memory (RAM)864 and a read-only memory (ROM) 866, and a user bus 868 that couplesthe memory 862 to the processor 860. In another embodiment, thecomputing device 830 may additionally include components such as astorage device 890 for storing the operating system 892 and one or moreapplication programs 894, a network interface unit 896, and/or aninput/output controller 898. Each of the components may be coupled toeach other through at least one bus 868. The input/output controller 898may receive and process input from, or provide output to, a number ofother devices 899, including, but not limited to, alphanumeric inputdevices, mice, electronic styluses, display units, touch screens, signalgeneration devices (e.g., speakers) or printers.

By way of example, and not limitation, the processor 860 may be ageneral-purpose microprocessor (e.g., a central processing unit (CPU)),a graphics processing unit (GPU), a microcontroller, a Digital SignalProcessor (DSP), an Application Specific Integrated Circuit (ASIC), aField Programmable Gate Array (FPGA), a Programmable Logic Device (PLD),a controller, a state machine, gated or transistor logic, discretehardware components, or any other suitable entity or combinationsthereof that can perform calculations, process instructions forexecution, and/or other manipulations of information.

In another implementation, shown in FIG. 7, a computing device 840 mayuse multiple processors 860 and/or multiple buses 868, as appropriate,along with multiple memories 862 of multiple types (e.g., a combinationof a DSP and a microprocessor, a plurality of microprocessors, one ormore microprocessors in conjunction with a DSP core).

Also, multiple computing devices may be connected, with each deviceproviding portions of the necessary operations (e.g., a server bank, agroup of blade servers, or a multi-processor system). Alternatively,some steps or methods may be performed by circuitry that is specific toa given function.

According to various embodiments, the computer system 700 may operate ina networked environment using logical connections to local and/or remotecomputing devices 820, 830, 840, 850 through a network 810. A computingdevice 830 may connect to a network 810 through a network interface unit896 connected to the bus 868. Computing devices may communicatecommunication media through wired networks, direct-wired connections orwirelessly such as acoustic, RF or infrared through a wirelesscommunication antenna 897 in communication with the network's wirelesscommunication antenna 812 and the network interface unit 896, which mayinclude digital signal processing circuitry when necessary. The networkinterface unit 896 may provide for communications under various modes orprotocols.

In one or more exemplary aspects, the instructions may be implemented inhardware, software, firmware, or any combinations thereof. A computerreadable medium may provide volatile or non-volatile storage for one ormore sets of instructions, such as operating systems, data structures,program modules, applications or other data embodying any one or more ofthe methodologies or functions described herein. The computer readablemedium may include the memory 862, the processor 860, and/or the storagemedia 890 and may be a single medium or multiple media (e.g., acentralized or distributed computer system) that store the one or moresets of instructions 900. Non-transitory computer readable mediaincludes all computer readable media, with the sole exception being atransitory, propagating signal per se. The instructions 900 may furtherbe transmitted or received over the network 810 via the networkinterface unit 896 as communication media, which may include a modulateddata signal such as a carrier wave or other transport mechanism andincludes any delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics changed or set in amanner as to encode information in the signal.

Storage devices 890 and memory 862 include, but are not limited to,volatile and non-volatile media such as cache, RAM, ROM, EPROM, EEPROM,FLASH memory or other solid state memory technology, disks or discs(e.g., digital versatile disks (DVD), HD-DVD, BLU-RAY, compact disc(CD), CD-ROM, floppy disc) or other optical storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices,or any other medium that can be used to store the computer readableinstructions and which can be accessed by the computer system 700.

It is also contemplated that the computer system 700 may not include allof the components shown in FIG. 7, may include other components that arenot explicitly shown in FIG. 7, or may utilize an architecturecompletely different than that shown in FIG. 7. The various illustrativelogical blocks, modules, elements, circuits, and algorithms described inconnection with the embodiments disclosed herein may be implemented aselectronic hardware, computer software, or combinations of both. Toclearly illustrate this interchangeability of hardware and software,various illustrative components, blocks, modules, circuits, and stepshave been described above generally in terms of their functionality.Whether such functionality is implemented as hardware or softwaredepends upon the particular application and design constraints imposedon the overall system. Skilled artisans may implement the describedfunctionality in varying ways for each particular application (e.g.,arranged in a different order or partitioned in a different way), butsuch implementation decisions should not be interpreted as causing adeparture from the scope of the present invention.

Certain modifications and improvements will occur to those skilled inthe art upon a reading of the foregoing description. By way of exampleand not limitation, the present invention systems and methods mayfurther include automated web-based searching to identify and analyzesimilar images and/or videos (or content, individuals, objects, andcombinations thereof in the images and/or videos) from social websitesor social media postings to associate, link, supplement and/or matchwith the at least one input authenticated and received by thecloud-based server(s) and corresponding to a surveillance environment, asurveillance event, and/or a surveillance target within a predeterminedtimeframe. The above-mentioned examples are provided to serve thepurpose of clarifying the aspects of the invention and it will beapparent to one skilled in the art that they do not serve to limit thescope of the invention. All modifications and improvements have beendeleted herein for the sake of conciseness and readability but areproperly within the scope of the present invention.

The invention claimed is:
 1. A system for cloud-based surveillance for atarget surveillance area, comprising: at least two input capture devices(ICDs) and a cloud-based analytics platform in network-basedcommunication; wherein the at least two ICDs has at least one visualsensor and is operable to capture and transmit input data to thecloud-based analytics platform; wherein at least one of the at least twoICDs is mobile. wherein the cloud-based analytics platform is operableto: receive and authenticate the input data; generate 3-Dimensional (3D)visual representation based on input data captured from the at least twoICDs; and perform advanced analytics based on the input data and thegenerated 3D visual representation.
 2. The system of claim 1, whereinthe at least two ICDs are selected from the group consisting of securitycameras, mobile phones, smart phones, tablets, portable computers,wearable input capture devices, and other devices with visual sensors.3. The system of claim 1, wherein the input data are selected from livestreaming video, real-time images and/or audio, previously recordedvideo, previously captured images and/or audio, and combinationsthereof.
 4. The system of claim 1, wherein the input data areautomatically tagged, combined, grouped, and edited by the cloud-basedanalytics platform.
 5. The system of claim 1, wherein authentication ofthe input data includes confirming the time for the input data capturedby the at least two ICDs.
 6. The system of claim 1, whereinauthentication of the input data includes confirmation of globalpositioning system (GPS) locations of the at least two ICDs are withinthe target surveillance area.
 7. The system of claim 1, whereinauthentication of the input data includes confirming that there has beenno alteration, editing, or modification to the input data prior to itsreceipt by the cloud-based analytics platform.
 8. The system of claim 1,wherein the cloud-based analytics platform is further operable toprovide data storage, and wherein a time period of storage is selectableon the cloud-based analytics platform.
 9. The system of claim 1, furthercomprising at least one user device in networked communication with thecloud-based analytics platform, wherein the at least one user devicecomprises a display, and wherein the at least one user device isoperable to display the 3D visual representation of the targetsurveillance area.
 10. The system of claim 9, wherein the 3D visualrepresentation of the target surveillance area is interactive via a userinterface over the at least one user device.
 11. A method for providingcloud-based surveillance for a target surveillance area, comprising:communicatively connecting at least two input capture devices (ICDs) toa cloud-based analytics platform; wherein the at least two ICDs has atleast one visual sensor and at least one of the at least two ICDs ismobile; the at least two ICDs capturing and transmitting input data tothe cloud-based analytics platform; the cloud-based analytics platformreceiving and authenticating the input data; the cloud-based analyticsplatform generating 3-Dimensional (3D) visual representation based onthe input data from the at least two ICDs; and the cloud-based analyticsplatform performing advanced analytics based on the input data and thegenerated 3D visual representation.
 12. The method of claim 11, whereinthe at least two ICDs are selected from the group consisting of securitycameras, mobile phones, smart phones, tablets, portable computers,wearable input capture devices, and other devices with visual sensors.13. The method of claim 11, wherein the input data are selected fromlive streaming video, real-time images and/or audio, previously recordedvideo, previously captured images and/or audio, and combinationsthereof.
 14. The method of claim 11, further comprising the cloud-basedanalytics platform tagging, combining, grouping, and editing the inputdata according to the target surveillance area.
 15. The method of claim11, wherein authenticating the input data comprises confirming the timefor the input data captured by the at least two ICDs.
 16. The method ofclaim 11, wherein authenticating the input data comprises confirmingglobal positioning system (GPS) locations of the at least two ICDs arewithin the target surveillance area.
 17. The method of claim 11, whereinauthenticating the input data comprises confirming that there has beenno alteration, editing, or modification to the input data prior to itsreceipt by the cloud-based analytics platform.
 18. The method of claim11, further comprising the cloud-based analytics platform providing datastorage, wherein a time period of storage is selectable on thecloud-based analytics platform.
 19. The method of claim 11, furthercomprising communicatively connecting at least one user device with adisplay to the cloud-based analytics platform and the at least one userdevice displaying the 3D visual representation of the targetsurveillance area over the display.
 20. The method of claim 19, furthercomprising interacting with the 3D visual representation of the targetsurveillance area via a user interface over the at least one userdevice.